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Curriculum Manager – Data Science & AI | Remote (Belgium, Portugal, UK, or US) Our client is a global EdTech platform trusted by millions of learners and thousands of companies worldwide to close the data and AI…
An early-to-mid-career developer at a culvert/stormwater manufacturer in Winder, GA who maintains and extends internal Python applications, owns the Power BI reporting estate, supports a SQL Server reporting database, and maintains desktop estimating tools and scheduled automations, working hands-on with business departments.
Take your career to the next level with Amaris Consulting as a Data Engineer for an IT Security & Compliance team . Become part of an international team, thrive in a global group with €800M turnover and 1,000+…
Descripción de la empresa FACTIC ofrece una plataforma SaaS que ayuda a empresas de gran consumo (FMCG), farmacéuticas y químicas a optimizar sus operaciones mediante previsión de la demanda basada en datos, autónoma y…
CHEQ, a traffic/threat/identity intelligence (cybersecurity) company, is hiring an early-career fullstack engineer in Tel Aviv to build and maintain production features end to end — from database and backend services to frontend. Stack: React/TypeScript, Node.js microservices on Kubernetes in AWS (PostgreSQL, MySQL, ClickHouse, Redis), plus a legacy Vue.js/C#/.NET platform on Azure.
Stackline is the first full-funnel connected commerce platform for the world's most innovative brands. Business leaders, product innovators, performance marketers, and analysts trust Stackline as the single source…
A hands-on junior product role at an AI-native property management company: the PM embeds with ops teams to map workflows, quantifies inefficiencies, and ships AI-driven automations alongside Forward Deployed Engineers. Core work involves LLM prototyping, process documentation, and dashboards (SQL/BI tools).
About ChronoAI: ChronoAI is building the infrastructure behind the next generation of AI. Our flagship product, NyxID, is an open-source gateway that enables AI agents to securely connect with APIs, local applications,…
En Ioon estamos convencidos de que la tecnología será el eje de la transformación de nuestras vidas, ¿te animas a ser parte de esta revolución? ¿Tiene las habilidades necesarias para este puesto? Lea todos los detalles…
At MyFitnessPal, we believe good health starts with what you eat. We provide tools, resources and support to enable users to reach their health goals. We are looking for a Security Engineer II with a focus on…
Designs and scales GenAI solutions (RAG, agentic workflows) for real-time customer insights and compliant knowledge creation in healthcare operations, collaborating with global teams on secure, scalable AI products.
Principal AI Engineer designs and builds enterprise-grade AI systems on AWS, leading architecture, LLM integrations, and production deployment for clients across multiple industries.
Lead the design and delivery of AI/ML systems, owning architecture decisions and driving solutions from research through production at scale using Python, AWS, and generative AI tools.
Builds and integrates AI-powered back-end systems for enterprise clients, focusing on AWS-hosted APIs, mobile apps, and event-driven architectures.
Leads the design, delivery, and adoption of AI/ML systems directly within client environments, owning architecture decisions and driving solutions from research through production at scale.
Principal engineer designing and shipping production-grade multi-agent AI systems on AWS, leading architecture across cloud, data, and AI/ML while mentoring teams and setting technical direction.
Lead the design and delivery of AI/ML systems, owning architecture decisions and driving solutions from research through production at scale.
Lead end-to-end delivery of enterprise-grade AI agents, defining behavior, running evals, and shipping production solutions in 30–45 days using AWS AI services and modern agentic frameworks.
Lead end-to-end AI product delivery for enterprise GenAI and agentic AI engagements, defining agent behavior, running evals, and shipping production-grade solutions in 30–45 days.
We help organizations move AI out of experimentation and into production — safely, reliably, and at scale. From inconsistent performance to limited transparency and challenges with integration and long-term viability,…
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